Sun, Aug 16, 2026
4:30 PM UTC (1 hour)
Virtual (Zoom)
Free to join
Sun, Aug 16, 2026
4:30 PM UTC (1 hour)
Virtual (Zoom)
Free to join
What you'll learn
The AI you see online vs. the AI companies actually build
See how the AI that dominates headlines compares to what enterprises actually build and invest in.
What the successful enterprise AI efforts have in common
Learn what the projects that reach real use share: strong data, real workflows, and people in control.
Which AI projects get funded and championed
See where companies actually put budget and leadership support, and how to align your skills with it.
Where to focus so your skills matter inside a company
Learn which capabilities carry real weight in enterprises, so you can focus your learning where it counts.
Why this topic matters
Most AI advice online points you toward skills that look impressive but carry little weight inside a real company.
This lesson shows what enterprises actually build, fund, and value, so you can aim your learning where it counts, tell serious work from hype, and grow into someone whose skills hold up in real roles, not just in demos.
You'll learn from
Viren Shah
I build governed enterprise AI for regulated industries.
- I build enterprise AI for a living: production systems that regulated businesses actually run on, not demos or pilots
- .I build AI that retains an organization's expert knowledge, so the hard-won judgment of senior people stays available even after they leave.
- I make an organization's own systems smarter with AI, turning existing data and processes into faster, better-informed decisions.
- My platform, RIAA, puts AI reasoning behind real business decisions while people stay in control and every step stays governed and on the record, across fields like medical billing, lending, insurance, and legal.
- I teach the parts most AI advice skips: what actually makes these systems work inside a company, from someone who has to stand behind the results.
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